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SmartUQ Announces New Advisor, Expert in the Energy Industry

SmartUQ Press Release

MADISON, WI - February 1, 2023: SmartUQ, a machine learning and uncertainty quantification software company, announced the addition of Godfrey B “Win” Warren, an expert in the energy industry, as a new advisor.

Warren currently serves as an advisor to and investor in a number of early-stage companies focusing on energy transition initiatives.

From 2013 to 2020, Warren served as a Senior Advisor for Noble Energy. Prior to his time with Noble Energy Warren spent 10 years with Devon Energy in Senior Advisor and Project Director roles.

In total Warren has over 40 years’ experience in the international energy sector, with broad- based commercial and transactional management and corporate development expertise. His experience base ranges from major multinational corporations to independents and start-ups and encompasses every region of the world – with responsibilities including strategic planning, business development, investment evaluation, corporate and project financing, portfolio management, commercial negotiations, acquisitions and divestitures (including major merger and acquisition transactions), and government relations.

“We are honored to have an energy expert like Win as an advisor,” said Peter Chien, CEO at SmartUQ. “With his guidance, SmartUQ will be able to continue our mission to find unique solutions to difficult machine learning problems found throughout the energy industry.

About SmartUQ

SmartUQ is a Machine Learning (ML) and Artificial Intelligence (AI) tool optimized for engineering applications from ideation and design to manufacturing and sustainment. By providing powerful tools and highly accurate ML models with user-friendly GUIs and APIs, SmartUQ makes it easy to perform predictive modeling, optimized sampling, uncertainty quantification, and model calibration. From Fortune 500 manufacturers to startups and engineering consulting firms, SmartUQ's best in class predictive modeling accuracy helps our customers go beyond analysis to bring uncertainty into the decision-making process. Learn more here.

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